Software Development Engineer, AI Data Infrastructure

About the role

Build the data infrastructure that powers the next generation of robotics and AI. Design scalable platforms that help scientists discover, access, and transform complex multi-modal datasets. Work at the intersection of data engineering, AI/ML infrastructure, and robotics — building systems that directly enable foundation model training for robotic manipulation.

What you'll build

• A data management platform that ingests, processes, and serves petabyte-scale multi-modal datasets — including video, sensor telemetry, and structured metadata — captured from instrumented robotic workcell environments
• Systems that enable science teams to discover relevant datasets in minutes instead of weeks, transform raw data into training-ready formats, and maintain full data lineage and reproducibility across experiments

Key job responsibilities

• Design and build data ingestion pipelines that process continuous multi-modal recordings (video, pose tracking, force/tactile telemetry) from instrumented capture environments into structured, searchable datasets
• Develop search and discovery services that enable scientists to find relevant datasets across large catalogs using keyword, metadata filtering, and semantic search capabilities
• Build data transformation and quality validation frameworks that automate repetitive data processing tasks and enforce data quality standards across registered datasets
• Implement episode segmentation workflows that process continuous session recordings into discrete, labeled task executions with synchronized multi-stream alignment
• Collaborate with science teams to understand their data access patterns and build programmatic interfaces that integrate with ML training workflows and notebook environments
• Design and develop scalable solutions using cloud-native architectures (AWS services including S3, OpenSearch, Lambda, Step Functions) in a large distributed computing environment
• Contribute to metadata enrichment tooling and automated documentation generation that improves dataset discoverability and reduces producer onboarding friction
• Participate in code reviews, contribute to technical documentation, and maintain operational excellence through monitoring, alerting, and on-call responsibilities
• Work in an agile environment practicing CI/CD principles while building resilient, fault-tolerant distributed systems
• Leverage and contribute to AI-powered tools (including GenAI capabilities) to enhance development productivity and data quality automation

Basic qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Preferred qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Pay

USA, MA, N.Reading - 143,700.00 - 194,400.00 USD annually. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan
• Health insurance including prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching

This response is AI-generated, for reference only.